Higher northern latitude normalized difference vegetation index and growing season trends from 1982 to 1999

By Compton J. Tucker, Daniel A. Slayback, Jorge E. Pinzón, Sietse O. Los, Ranga B. Myneni, Malinda G. Taylor. International journal of biometeorology, 2001

773 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/4675786532fd52c33099d90d5963ce7d96175848

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Citations in the corpus

Growing season changes in the last century (2006, result): “Additional analyses of higher northern latitude NDVI by Tucker et al. (2001) for the period 1982–1999 yielded similar results as previous studies: an earlier start and increased length of the growing season which was a response to warmer temperatures.”
Phenology shifts at start vs. end of growing season in temperate vegetation over the Northern Hemisphere for the period 1982–2008 (2011, methodology): “Additional analyses carried out by Tucker et al. (2001) for higher northern latitudes (401–701N) and the period 1982–1999 yielded similar results as previous studies: trends toward the earlier onset and delayed end of growing seasons were observed.”
Change in snow phenology and its potential feedback to temperature in the Northern Hemisphere over the last three decades (2013, result): “These results are consistent with the trends of vegetation phenology estimated by satellite observation and some terrestrial biogeochemical cycle models (Smith et al 2004, Tucker et al 2001, Piao et al 2008, Jeong et al 2011).”
The onset of spring and timing of migration in two arctic nesting goose populations: the pink-footed goose Anser bachyrhynchus and the barnacle goose Branta leucopsis (2008, neutral): “…(NOAA National Oceanic and Atmospheric Administration, AVHRR Advanced Very High Resolution Radiometer) produced by the Global Inventory Modelling and Mapping Studies (GIMMS) group was used to determine the timing of the onset of spring (Tucker et al. 2001, Zhou et al. 2001, Bogart et al. 2002).”
Field experiments to test the use of the normalized-difference vegetation index for phenology detection. (2010, background): “…index (NDVI) values to detect extension of the growing season in terrestrial ecosystems as a result of global warming (Myneni et al., 1997; Tucker et al., 2001; Zhou et al., 2001; Shabanov et al., 2002; Stöckli and Vidale, 2004; Chen et al., 2005; Piao et al., 2006).”
Recent changes in phenology over the northern high latitudes detected from multi-satellite data (2011, background): “Most studies found advanced start of season (SOS) and delayed end of season (EOS) either from field measurements (Menzel 2000, Ho et al 2006) or from satellite observations (Myneni et al 1997, Zhou et al 2001, Tucker et al 2001, Goetz et al 2005, Jia et al 2009).”
Trend Change Detection in NDVI Time Series: Effects of Inter-Annual Variability and Methodology (2013, neutral): “For example, annual mean or peak NDVI provides an integrated view on photosynthetic activity [7], the seasonal NDVI amplitude is related to the composition of evergreen and deciduous vegetation [8] and the length of the NDVI growing season can be related to phenological changes [9].”
Growing season extension and its impact on terrestrial carbon cycle in the Northern Hemisphere over the past 2 decades (2007, methodology): “... delayed trends (0.28 days yr � 1 ) as that derived from NOAA/AVHRR satellite data (0.21 days yr � 1 )[ Zhou et al., 2001], the trends in Eurasia (0.11 days yr � 1 ) are much smaller than those of Zhou et al. (0.58 days yr � 1 ). Using the different method with that of Zhou et al. [2001], another”
Quantifying the effectiveness of ecological restoration projects on long-term vegetation dynamics in the karst regions of Southwest China (2017, background): “Due to the large area coverage and long time span, satellite based imagery has become a widely used tool in ecological conservation and one of the most important data sources for monitoring vegetation dynamics at large scales (Nemani et al., 2003; Pettorelli et al., 2005; Tucker et al., 2001).”
Tundra shrubification and tree-line advance amplify arctic climate warming: results from an individual-based dynamic vegetation model (2013, background): “…(e.g. normalized difference vegetation index, NDVI) over the last three decades mirrors increases in photosynthetic productivity across arctic tundra (Tucker et al 2001, Goetz et al 2007, Epstein et al 2012); transect and plot-scale studies have associated the degree of summer warmth with an…”